COP Stock Forecast: COP Increased by 69.41% with an Accuracy of 100%
Executive Summary
The purpose of this ConocoPhillips (COP) stock forecast report is to present the results of the live forecast performance evaluation for the COP stock by the I Know First AI Algorithm. The evaluation period is from 19th June 2021 to 19th October 2022. The corresponding returns distribution of the stock is shown below:
The COP Stock Report Highlights:
- The highest average return is 69.41% on a 1-year time horizon
- Predictions reach up to a 100% hit ratio
- Every signal group has hit ratios above 57% for all time horizons
About the I Know First Algorithm
The I Know First self-learning algorithm analyzes, models, and predicts the stock market. The algorithm is based on Artificial Intelligence (AI) and Machine Learning (ML) and incorporates elements of Artificial Neural Networks and Genetic Algorithms.
The system outputs the predicted trend as a number, positive or negative, along with a wave chart that predicts how the waves will overlap the trend. This helps the trader to decide which direction to trade, at what point to enter the trade, and when to exit. Since the model is 100% empirical, the results are based only on factual data, thereby avoiding any biases or emotions that may accompany human-derived assumptions.
The human factor is only involved in building the mathematical framework and providing the initial set of inputs and outputs to the system. The algorithm produces a forecast with a signal and a predictability indicator. The signal is the number in the middle of the box. Predictability is the number at the bottom of the box. At the top, a specific asset is identified. This format is consistent across all predictions.
Our algorithm provides two independent indicators for each asset – Signal and Predictability.
The Signal is the predicted strength and direction of the movement of the asset. Measured from -inf to +inf.
Predictability indicates our confidence in that result. It is a Pearson correlation coefficient between past algorithmic performance and actual market movement. Measured from -1 to 1.
You can find a detailed description of our heatmap here.
The Stock Market Forecast Performance Evaluation Method
We perform evaluations on the individual forecast level. It means that we calculate what would be the return of each forecast we have issued for each horizon in the testing period. Then, we take the average of those results by strategy and forecast horizon.
For example, to evaluate the performance of our 1-month forecasts, we calculate the return of each trade by using this formula:
This simulates a client purchasing the asset based on our prediction and selling it exactly 1 month in the future.
We iterate this calculation for all trading days in the analyzed period and average the results.
Note that this evaluation does not take a set portfolio and follow it. This is a different evaluation method at the individual forecast level.
The Hit Ratio Method
The hit ratio helps us to identify the accuracy of our algorithm’s predictions.
Using our Daily Forecast asset filtering, we predict the direction of the movement of different assets. Our predictions are then compared against the actual movements of these assets within the same time horizon.
The hit ratio is then calculated as follows:
For instance, a 90% hit ratio for a predictability filter with a top 10 signal filter would imply that the algorithm correctly predicted the price movements of 9 out of 10 assets within this particular set of assets.
The Benchmarking Method – S&P 500 Index
In order to evaluate our algorithm’s performance in comparison to the US market, we used the S&P 500 index as a benchmark.
The S&P 500 measures the stock performance of the largest 500 companies by market cap listed on different stock exchanges in the United States. It is one of the most followed equity indices and is frequently used as the best indicator for the overall performance of US public companies, and the US market as a whole. The S&P 500 is a capitalization-weighted index, the weight of each company in the index is determined based on its market cap divided by the aggregate market cap of all the S&P 500 companies.
For each time horizon, we compare the S&P 500 performance with the performance of our forecasts.
COP Stock Forecast Performance Evaluation – Overview
ConocoPhillips (COP) is an independent exploration and production firm, founded in 1917 and headquartered in Houston, Texas. ConocoPhillips markets crude oil, bitumen, natural gas, liquefied natural gas (LNG), and natural gas liquids in North America, Europe, Asia, and Australia, Canada. In this report, we conduct testing for the COP Stock that I Know First covers by its algorithmic forecast. The period for evaluation and testing is from 19th June 2021 to 19th October 2022. During this period, we were providing our clients with daily forecasts in time horizons spanning from 3 days to 1 year which we evaluate in this report.
As can be seen in the column chart above, our algorithm provided positive returns for most of the time horizons. We can notice that as the forecasting horizon expands, the average returns tend to become higher from 0.91% for the 3-day horizon to 69.41% for the 1-year horizon.
According to the chart above, all the signal groups across all time horizons gave a hit ratio greater than 57%. It should be noted that as the time horizon gets longer, the I Know First hit ratio increases from 59% for the 3-day horizon to 100% for the 1-year horizon.
COP Stock Forecast: Conclusion
This report looked at the live performance forecast of I Know First data for ConocoPhillips stock from 19th June 2021 to 19th October 2022. Data from Figures 1 and 2 above shows I Know First was able to generate a positive average return from 0.91% for the 3-day horizon to 69.41% for the 1-year horizon. Moreover, the COP hit ratio increases from 59% for the 3-day horizon to 100% for the 1-year horizon.
